FKIE_CVE-2026-84989
Vulnerability from fkie_nvd - Published: 2026-09-03 15:17 - Updated: 2026-09-09 21:09
Severity
Summary
ntopng is a web-based network traffic monitoring application. In versions 6.7.0 through 6.7.260717, two REST v2 endpoints that manage ntopng's tag/badge feature — `POST /lua/rest/v2/delete/tag/tag.lua` and `POST /lua/rest/v2/edit/tag/tag.lua` — perform no authorization check at all. Any authenticated user, including a non-administrator ("unprivileged") account, can delete or rename any tag in the system, including tags created by an administrator. Version 6.7.260718 contains a fix.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "ntopng",
"vendor": "ntop",
"versions": [
{
"status": "affected",
"version": "\u003e= 6.7.0, \u003c 6.7.260718"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "ntopng is a web-based network traffic monitoring application. In versions 6.7.0 through 6.7.260717, two REST v2 endpoints that manage ntopng\u0027s tag/badge feature \u2014 `POST /lua/rest/v2/delete/tag/tag.lua` and `POST /lua/rest/v2/edit/tag/tag.lua` \u2014 perform no authorization check at all. Any authenticated user, including a non-administrator (\"unprivileged\") account, can delete or rename any tag in the system, including tags created by an administrator. Version 6.7.260718 contains a fix."
}
],
"id": "CVE-2026-84989",
"lastModified": "2026-09-09T21:09:13.080",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "LOW",
"baseScore": 7.1,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:L",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 4.2,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-84989",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-09-03T14:54:08.872588Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-09-03T15:17:36.680",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/ntop/ntopng/commit/0e41f24b367fb9caf750459da67827326e3289e8"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/ntop/ntopng/security/advisories/GHSA-43p9-5758-wwq8"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"url": "https://github.com/ntop/ntopng/security/advisories/GHSA-43p9-5758-wwq8"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-862"
}
],
"source": "security-advisories@github.com",
"type": "Primary"
}
]
}
Loading…
Loading…
Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Loading…
The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Loading…
Loading…